Spring AI Series
Last updated: May 13, 2026
Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.
Get started with mocking and improve your application tests using our Mockito guide:
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
Get started with understanding multi-threaded applications with our Java Concurrency guide:
Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:
Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.
But these can also be overused and fall into some common pitfalls.
To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:
Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:
Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.
I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.
You can explore the course here:
Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.
Get started with Spring Data JPA through the guided reference course:
Refactor Java code safely — and automatically — with OpenRewrite.
Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.
Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.
Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.
Spring AI is a comprehensive framework for building AI-powered applications on the Spring platform, providing abstractions over language model providers. It enables Java developers to integrate conversational AI, retrieval-augmented generation, and agentic workflows into their applications using familiar Spring patterns.
This curated series provides a practical guide to building AI applications with Spring AI, from core chat and memory concepts to advanced patterns like RAG pipelines, custom advisors, AI agents, and Model Context Protocol (MCP) integration.
Getting Started with Spring AI
- Introduction to Spring AI
- ChatClient Fluent API in Spring AI
- Chat Memory in Spring AI
- Streaming Response in Spring AI ChatClient
- Configuring Multiple LLMs in Spring AI
- A Guide to Structured Output in Spring AI
AI Models and Providers
- Using Anthropic’s Claude Models With Spring AI
- Google Cloud and Spring AI
- Building an AI Chatbot Using DeepSeek Models With Spring AI
- Using Hugging Face Models With Spring AI and Ollama
- Create a ChatGPT Like Chatbot With Ollama and Spring AI
RAG and Vector Stores
- A Guide to Embeddings Model API in Spring AI
- Create a RAG (Retrieval Augmented Generation) Application with Redis and Spring AI
- Implementing Semantic Search Using Spring AI and PGVector
- Spring AI With ChromaDB Vector Store
- Building a RAG App Using MongoDB and Spring AI
Advisors and AI Agents
- A Guide to Spring AI Advisors
- A Guide to Spring AI Recursive Advisors
- Building Effective Agents with Spring AI
- Explainable AI Agents: Capture LLM Tool Call Reasoning with Spring AI
- Implementing an AI Assistant with Spring AI
Model Context Protocol (MCP)
- Exploring Model Context Protocol (MCP) With Spring AI
- Overview of MCP Annotations in Spring AI
- MCP Elicitations With Spring AI
- MCP Authorization With Spring AI and OAuth2
- Securing Spring AI MCP Servers With OAuth2
Multimodal and Advanced Capabilities
